Summary

This role is an opportunity to shape the future of AI-driven finance, building agentic systems that streamline research, decision-making, and operational processes. You will work alongside world-class engineers, data scientists, and product leaders, applying advanced AI techniques to deliver meaningful impact across the industry. 

Responsibilities

1. Develop next-generation AI Agents to deliver a combination of capabilities to research structured and unstructured data. 
2. Design, develop, and optimize algorithms that strategically prompt LLMs to execute complex, multi-step reasoning tasks, agentic workflows and chains efficiently. 
3. Write high quality, modular code to capture agentic design patterns into reusable, maintainable, production-ready code. 
4. Prototype AI-driven experiences rapidly, collecting user feedback to refine capabilities.  
5. Implement robust evaluation systems for AI agents, leveraging both in-house and third-party tools.  
6. Ensure AI performance and reliability, carefully crafting comprehensive end-to-end and unit test-cases for agents and related sub-components. 
7. Prepare structured and unstructured data for retrieval-augmented generation (RAG) and other agentic chains and workflows.  
8. Deploy AI-powered solutions to the cloud with a focus on latency, scalability, and security.  
9. Stay ahead of AI innovation, continuously evolving our agentic models based on the latest Generative AI research and tools for optimal LLM invocation. 

Requirements

1. Strong Python programming experience, with a deep understanding of data structures and algorithms. 
2. Prompt engineering experience with an intuitive grasp of LLM behaviour and understanding of patterns such as ReACT, Chain-of-Thought (CoT), function calling, Text2SQL and intelligent routing. 
3. Experience with open-source frameworks such as LangChain and LlamaIndex. 
4. Generative AI/LLM test-case and validation experience. 
5. Understanding of cloud deployment such as Kubernetes, Docker and/or cloud ML platforms such as Amazon bedrock. 
6. Understanding of retrieval augmented generation (RAG) and related topics such as chunking strategies, hybrid indexing, graph RAG and agentic RAG. 
7. Exceptional attention to code quality and emphasis on adhering to established software design patterns. 
8. Hands-on experience developing production-grade systems in one or more of the above areas.  
9. BS in Computer Science or a related field.  
10. 2 years of professional experience in workplace setting

CAIS’ compensation package includes a market competitive salary, a performance bonus, and exceptional benefits. If you are located in New York, New York, the base salary range for this role is $150,000 - $170,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. 

Skills

• Database Management
• Development
• Software Engineering
• SQL